Changes in version 0.1.0 (2026-08-21)                  

  - Initial CRAN release of AugBalWeight.
  - Implements augmented balancing weights as linear regression based on
    Bruns-Smith, Dukes, Feller, and Ogburn (2026, JRSSB,
    DOI: 10.1093/jrsssb/qkaf019).
  - Supports double_ridge (l2 balancing), double_lasso (l-infinity
    balancing), and general augmented outcome models.
  - Includes hyperparameter cross-validation for outcome models,
    covariate balance, and Riesz loss.
  - Provides aug_bal_ate and aug_bal_att wrappers for causal inference
    with treatment effect estimation.
  - Features balance diagnostic plotting, robust EIF standard errors,
    and counterfactual prediction methods.